Experimental Dataset on Eye-tracking Activity During Self-Regulated Learning

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26110%2F26%3A0200219" target="_blank" >RIV/00216305:26110/26:0200219 - isvavai.cz</a>

Result on the web

<a href="https://www.nature.com/articles/s41597-025-05304-1" target="_blank" >https://www.nature.com/articles/s41597-025-05304-1</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1038/s41597-025-05304-1" target="_blank" >10.1038/s41597-025-05304-1</a>

Result language

angličtina

Original language name

Experimental Dataset on Eye-tracking Activity During Self-Regulated Learning

Original language description

The cognitive processing of learning materials has been extensively studied within various cognitive theories. Self-regulated learning (SRL) is also recognized as a key factor in learning efficiency. However, evidence linking SRL to learning outcomes remains inconclusive, particularly regarding objective behavioral data during learning. This study presents an original empirical dataset on eye-tracking activity during learning, examining the effects of metacognitive prompts and multimedia content on cognitive processing and learning outcomes. A controlled laboratory experiment with a 2 x 2 mixed factorial design involved 110 university students, resulting in 84 complete recordings of eye-movement activity during learning. Participants studied scientific materials in text-only and multimedia formats, with one group receiving metacognitive prompts and the control group receiving general instructions. Learning performance was assessed via a post-test, and eye-tracking technology captured gaze patterns to provide insights into cognitive engagement and attention distribution. Applications extend to e-learning, virtual environments, and user interface design. While the dataset has some methodological limitations, it remains a robust resource for studying cognitive processes and optimizing educational technologies.

Czech name

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Czech description

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Type

J_imp - Article in a specialist periodical, which is included in the Web of Science database

CEP classification

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OECD FORD branch

10700 - Other natural sciences

Project

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Continuities

I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Publication year

2025

Confidentiality

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Name of the periodical

Scientific Data

ISSN

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e-ISSN

2052-4463

Volume of the periodical

1

Issue of the periodical within the volume

12

Country of publishing house

GB - UNITED KINGDOM

Number of pages

9

Pages from-to

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UT code for WoS article

001505360600009

EID of the result in the Scopus database

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